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ST Engineering Geo-Insights Pte Ltd is seeking a Geospatial Solutions Developer to design, implement, and train machine learning algorithms that turn raw satellite remote sensing data into actionable geospatial insights.
The role requires a strong background in Electrical Engineering or Computer Science, at least five years of relevant experience, and proficiency with Python, ML libraries (OpenCV, Scikit-learn, PyTorch, LangChain), and app frameworks like Flask or NodeJS, plus containerization.
ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.
ST Engineering Geo-Insights Pte Ltd is a satellite downstream services provider focused on satellite ground station operations, satellite imagery distribution and generating insights from geospatial data for maritime, agriculture and sustainability applications. We are looking for team members who are passionate about implementing technological solutions to solve real world problems and delivering social, economic and environmental value. You can look forward to a growth-oriented career in a supportive and fast-paced environment.
As a Geospatial Solutions Developer, you will be responsible to develop and implement algorithms to process raw data from satellite remote sensing, into useful information that can be analysed subsequently. You will be detail oriented and possess an innate curiosity to extract useful signals from noise and perform experiments to calibrate and improve the information quality.